SmoothFilter

用牛顿法解决非线性规划问题，解决问题所需时间少，能提高效率，但须具有二阶导数(Newton' s method to solve nonlinear programming problems, less time, and can improve the efficiency needed to solve the problem, but must have a second derivative)

包括信号系统和系统响应，FFT谱分析，双线性法设计IIR数字滤波器，窗函数法设计FIR数字滤波器，四部分matlab仿真程序，以及必要的说明。(Including the signal system and the system response, FFT spectrum analysis, bilinear Design of IIR digital filters, window function method for the design FIR digital filters, four-part matlab simulation program, and the necessary instructions.)

哈工大ppt课件，简单易懂，有应用实例，入门必备。(HIT ppt courseware, simple to understand, there are examples, entry necessary.)

Subcarrier allocation in mimo-ofdma

功率谱估计中SVD-TLS算法的三种实现版本(Power spectrum estimation of the three kinds of SVD-TLS algorithm implementation version of the)

扩展卡尔曼滤波方法用于被动多传感器协同目标跟踪(Extended Kalman filter for passive multi-sensor collaborative target tracking)

使用matlab编写的用wolf法求Lyapunov指数的算法程序 假近邻法(False Nearest NeighborFNN)计算嵌入维的Matlab程序 一类基于奇异值分解的Lyapunov指数计算方法(Matlab program using Matlab prepared wolf method and the Lyapunov exponent of the false nearest neighbor algorithm program (False Nearest NeighborFNN) calculation of the embedding dimension, Lyapunov exponent calculation method based on singular value decomposition)

高压共轨系统matlab/simulink仿真模型(high pressure common rail system simulation in matlab)

(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。 (4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。 (1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance． 2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line. 3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)

基于DCT离散余弦变换的JPEG数字图像压缩MATLAB程序。(Discrete cosine transform DCT-based JPEG image compression MATLAB.)